# StrengthSense: A Dataset of IMU Signals Capturing Everyday Strength-Demanding Activities

arXiv: https://arxiv.org/abs/2511.02027 · HTML: https://mlsanity.com/paper/2511.02027/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 2 of its 23 references that are in the map.
- First posted on arXiv 30 Oct 2025.

## Builds on (most cited first, 2 of 2)

- [Multimodal video and IMU kinematic dataset on daily life activities using affordable devices (VIDIMU)](https://mlsanity.com/paper/2303.16150/) (2023)
- [Improvement of Performance in Freezing of Gait detection in Parkinsons Disease using Transformer networks and a single waist worn triaxial accelerometer](https://mlsanity.com/paper/2404.03704/) (2024)

## Built on by (most cited first, 1 of 1)

- [EquiFusion: Kinematics-Agnostic Human Motion Prediction via Equivariant Latent Diffusion](https://mlsanity.com/paper/2607.10984/) (2026)

## Abstract (arXiv)

Tracking strength-demanding activities with wearable sensors like IMUs is crucial for monitoring muscular strength, endurance, and power. However, there is a lack of comprehensive datasets capturing these activities. To fill this gap, we introduce textitStrengthSense, an open dataset that encompasses IMU signals capturing 11 strength-demanding activities, such as sit-to-stand, climbing stairs, and mopping. For comparative purposes, the dataset also includes 2 non-strength demanding activities. The dataset was collected from 29 healthy subjects utilizing 10 IMUs placed on limbs and the torso, and was annotated using video recordings as references. This paper provides a comprehensive overview of the data collection, pre-processing, and technical validation. We conducted a comparative analysis between the joint angles estimated by IMUs and those directly extracted from video to verify the accuracy and reliability of the sensor data. Researchers and developers can utilize textitStrengthSense to advance the development of human activity recognition algorithms, create fitness and health monitoring applications, and more.